| 时滞竞争神经网络的全局指数稳定性 |
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| 引用本文： | 陈君,崔宝同.时滞竞争神经网络的全局指数稳定性[J].系统工程与电子技术,2008,30(5):901-904. |
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| 作者姓名： | 陈君 崔宝同 |
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| 作者单位： | 江南大学通信与控制工程学院,江苏,无锡,214122 |
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| 基金项目： | 国家自然科学基金
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教育部科学技术研究重点项目 |
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| 摘 要： | 对于不同时标的时变时滞竞争神经网络的网络模型,通过构造适当的Lyapunov函数,结合微分不等式分析,研究了时变时滞竞争神经网络的全局指数稳定性,获得了新的全局指数稳定性判据,所得判据推广和改进了前人的相关结论。最后的数值仿真例子证明了该算法的有效性。
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| 关 键 词： | 竞争神经网络 Lyapunov函数 Jacobsthal不等式 指数稳定 变时滞 |
| 文章编号： | 1001-506X(2008)05-0901-04 |
| 修稿时间： | 2007年5月25日 |
Global exponential stability of competitive neural networks with different time-scales |
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| CHEN Jun,CUI Bao-tong.Global exponential stability of competitive neural networks with different time-scales[J].System Engineering and Electronics,2008,30(5):901-904. |
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| Authors: | CHEN Jun CUI Bao-tong |
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| Abstract: | The global exponential stability of competitive neural networks with different time scales and delay is investigated.Based on the proper Lyapunov functions and analysis for the Jacobsthal inequality,some new sufficient conditions for global exponential stable of the delayed competitive neural networks with different time scales are given.An illustrative example with its figsure of simulation is presented which demonstrates the usefulness of the proposed results. |
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| Keywords: | competitive neural networks Lyapunov functions Jacobsthal inequality global exponential stability delay |
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